Artículo
Partial discharges location in transformer winding using wavelets and Kullback-Leibler divergence
Fecha de publicación:
07/2016
Editorial:
Elsevier Science Sa
Revista:
Electric Power Systems Research
ISSN:
0378-7796
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
A new algorithm to partial discharges (PD) location in transformer windings by means of the discrete wavelets transform (DWT) and the Kullback-Leibler (KL) divergence is presented. When the insulation system of transformers has considerable damage, high levels of PD appear. A PD analysis will help to prevent and to avoid catastrophic faults in the transformer insulation system, and is also useful to quantify the damage level into it. However, it is a complex task, because PD signals have a small magnitude and are presented during some microseconds. In this paper, a lumped parameter model RLC is used to model the transformer winding and to obtain PD reference signals. The DWT is used to process those signals. PD location is finally estimated by means of the minimum entropy concept that minimizes the Kullback-Leibler (KL) divergence between PD signals (test and reference signals). Different time durations and amplitudes to the PD signals were considered. The results of computer simulation confirm the accuracy of the proposed algorithm, with an error less than 5%. Also, the algorithm is validated in a distribution transformer winding.
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Colecciones
Articulos(IEE)
Articulos de INSTITUTO DE ENERGIA ELECTRICA
Articulos de INSTITUTO DE ENERGIA ELECTRICA
Citación
Guillen, Daniel; Idarraga Ospina, Gina; Mombello, Enrique Esteban; Cabral, Sergio; Partial discharges location in transformer winding using wavelets and Kullback-Leibler divergence; Elsevier Science Sa; Electric Power Systems Research; 136; 7-2016; 398-405
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